Streamflow Generation From Catchments of Contrasting Lithologies: The Role of Soil Properties, Topography, and Catchment Size. Issue 11 (19th November 2019)

• Record Type: Journal Article
• Authors: Xiao, Dacheng; Shi, Yuning; Brantley, Susan L.; Forsythe, Brandon; DiBiase, Roman; Davis, Kenneth; Li, Li
• Is Part Of: Water resources research. Volume 55:Issue 11(2019)
• Page Start: 9234
• Page End: 9257
• Publication Date: 2019-11-19
• Subjects: Hydrology -- Periodicals; 333.91
• DOI: 10.1029/2018WR023736
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: Understanding streamflow generation and its dependence on catchment characteristics requires large spatial data sets and is often limited by convoluted effects of multiple variables. Here we address this knowledge gap using data‐informed, physics‐based hydrologic modeling in two catchments with similar vegetation and climate but different lithology (Shale Hills [SH], shale, 0.08 km 2, and Garner Run [GR], sandstone, 1.34 km 2 ), which influences catchment topography and soil properties. The sandstone catchment, GR, is characterized by lower drainage density, extensive valley fill, and bouldery soils. We tested the hypothesis that the influence of topographic characteristics is more significant than that of soil properties and catchment size . Transferring calibration coefficients from the previously calibrated SH model to GR cannot reproduce monthly discharge until after incorporating measured boulder distribution at GR. Model calibration underscored the importance of soil properties (porosity, van Genuchten parameters, and boulder characteristics) in reproducing daily discharge. Virtual experiments were used to swap topography, soil properties, and catchment size one at a time to disentangle their influence. They showed that clayey SH soils led to high nonlinearity and threshold behavior. With the same soil and topography, changing from SH to GR size consistently increased dynamic water storage ( S d ) from ~0.12 to ~0.17 m. All analyses accentuated the predominant control of soil properties, therefore rejecting the hypothesis. The results illustrate the use of physics‐based modeling for illuminating mechanisms and underscore the importance of subsurface characterization as we move toward hydrological prediction in ungauged basins. Key Points: Soil and macropore properties predominantly control storage‐discharge relationships in shale and sandstone catchments Dynamic water storage increases with catchment size because hillslope‐stream connectivity increases in larger catchments Swap experiments can assess the impacts of topography and catchment size that a sensitivity analysis cannot